连接动力学与自闭症谱系障碍儿童症状严重程度和认知能力的联系:一项fNIRS研究。

IF 4 2区 医学 Q1 NEUROSCIENCES
Conghui Su,Yubin Hu,Yifan Liu,Ningxuan Zhang,Liming Tan,Shuiqun Zhang,Aiwen Yi,Yaqiong Xiao
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引用次数: 0

摘要

功能近红外光谱(fNIRS)已成为研究自闭症谱系障碍(ASD)儿童神经生物学标志物的一种有价值的工具。虽然之前的研究已经确定了ASD儿童与正常发育儿童(TD)相比的功能连接异常,但大脑连接动态及其与自闭症症状和认知能力的关系仍未得到充分探讨。我们分析了44名年龄在2.08-6.67岁的儿童(30名男孩,21名ASD/23名TD)在观看无声动画片时的近红外光谱数据。使用滑动窗口相关和k-means聚类,我们评估了动态连通性的组差异以及与症状严重程度和认知表现的相关性。我们的研究结果显示,与自闭症儿童相比,自闭症儿童在特定大脑状态下的停留时间更短,状态转换也更少。这些非典型脑状态模式与自闭症症状严重程度呈负相关,与适应行为和认知表现呈正相关。中介分析表明,适应性行为完全中介了脑动力学与认知表现之间的关系。此外,动态连接特征在区分ASD和TD儿童方面的准确率达到74.4%。重要的是,大脑动力学和认知表现之间的联系在一个独立的TD样本中得到了重复,强调了这一发现的稳健性。总之,这些发现强调了自闭症儿童大脑动力学的改变,并强调了适应性行为在连接神经活动和认知表现方面的关键作用。这些发现促进了我们对自闭症谱系障碍的神经机制的理解,并为早期干预和临床应用指明了潜在的途径。自闭症谱系障碍(ASD)儿童的脑动力学及其与症状严重程度和认知能力的关系仍然知之甚少。通过动态功能连接分析,我们的研究确定了自闭症儿童不同的大脑状态模式。这些模式与自闭症症状的严重程度和认知表现有关。重要的是,适应性行为成为脑动力学和认知功能之间的重要中介。我们的发现为ASD的神经机制提供了新的见解,并强调了适应性行为在制定未来干预策略中的关键作用。通过将特定的神经动力学与适应性行为和认知能力联系起来,我们的研究增强了我们对ASD神经生物学的理解,并有可能改善受影响儿童的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linking connectivity dynamics to symptom severity and cognitive abilities in children with autism spectrum disorder: An fNIRS study.
Functional near-infrared spectroscopy (fNIRS) has emerged as a valuable tool for investigating neurobiological markers in children with autism spectrum disorder (ASD). While previous studies have identified abnormal functional connectivity in ASD children compared to typically developing (TD) peers, brain connectivity dynamics and their associations with autism symptoms and cognitive abilities remain underexplored. We analyzed fNIRS data from 44 children (30 boys, 21 ASD/23 TD) aged 2.08-6.67 years while they viewed a silent cartoon. Using sliding window correlation and k-means clustering, we assessed group differences in dynamic connectivity and the correlations with symptom severity and cognitive performance. Our results revealed that children with ASD showed reduced dwell time in a specific brain state and fewer state transitions compared to TD children. These atypical brain state patterns were negatively correlated with autism symptom severity and positively correlated with adaptive behavior and cognitive performance across participants. Mediation analysis revealed that adaptive behavior fully mediated the relationship between brain dynamics and cognitive performance. Furthermore, dynamic connectivity features achieved 74.4% accuracy in distinguishing ASD from TD children. Importantly, the link between brain dynamics and cognitive performance was replicated in an independent TD sample, underscoring the robustness of this finding. Together, these findings highlight altered brain dynamics in young children with ASD and underscore the critical role of adaptive behavior in bridging neural activity and cognitive performance. These insights advance our understanding of neural mechanisms underlying ASD and point to potential pathways for early interventions and clinical applications.Significant statement The brain dynamics and their relationships with symptom severity and cognitive abilities in children with autism spectrum disorder (ASD) remain poorly understood. Using dynamic functional connectivity analysis, our study identified distinct brain state patterns in children with ASD. These patterns were associated with both autism symptom severity and cognitive performance. Importantly, adaptive behavior emerged as a crucial mediator between brain dynamics and cognitive function. Our findings provide novel insights into the neural mechanisms of ASD and highlight the critical role of adaptive behavior in formulating future intervention strategies. By linking specific neural dynamics to adaptive behaviors and cognitive abilities, our study enhances our understanding of ASD neurobiology and has the potential to improve outcomes for affected children.
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来源期刊
Journal of Neuroscience
Journal of Neuroscience 医学-神经科学
CiteScore
9.30
自引率
3.80%
发文量
1164
审稿时长
12 months
期刊介绍: JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles
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